Data Responden seluruh variabel
RESPON
X1_Pelibatan X2_Kepuasan X3_Iklim Y_Semangat
1
80
142
70
124
2
87
150
72
119
3
83
146
68
116
4
86
146
72
114
5
78
136
68
105
6
83
164
67
121
7
79
136
59
103
8
101
160
77
107
9
82
81
73
106
10
94
118
75
107
11
88
114
63
105
12
93
97
71
105
13
87
99
75
100
14
80
104
64
107
15
75
103
79
102
16
86
82
85
97
17
81
123
75
81
18
91
94
69
95
19
83
122
64
106
20
80
108
67
112
21
79
126
68
100
22
94
105
68
101
23
84
107
68
97
24
74
108
79
102
25
80
107
78
96
26
78
102
71
98
27
87
106
76
105
28
94
104
81
98
29
82
112
73
102
30
80
109
69
99
31
84
108
75
100
32
76
113
81
93
33
86
109
75
98
34
70
106
67
96
35
64
110
78
101
36
85
107
72
96
37
66
113
78
99
38
82
111
80
92
39
71
113
74
99
40
89
116
63
104
42
77
106
68
110
43
84
109
67
95
44
63
122
75
96
45
69
109
75
88
46
68
111
72
92
47
80
111
71
89
48
66
110
73
107
49
79
115
71
98
50
85
110
73
107
51
78
109
70
103
52
68
112
72
101
53
82
109
76
101
54
68
110
71
88
55
71
116
72
96
56
89
111
69
110
57
69
117
77
94
58
74
117
70
97
59
76
109
68
112
60
81
109
82
96
61
85
106
77
97
62
77
111
74
93
63
91
107
74
97
64
80
109
64
98
65
76
105
68
97
66
79
114
73
95
67
84
111
68
92
68
83
107
72
99
69
79
102
68
103
70
78
103
73
99
71
90
106
83
105
72
64
112
72
98
73
75
108
67
104
74
82
109
74
96
75
81
105
70
101
76
81
104
78
100
77
64
105
70
98
78
81
106
79
107
79
79
101
78
104
80
76
103
76
92
81
79
106
70
97
82
82
109
74
110
83
85
110
71
107
84
73
101
82
102
86
80
110
73
103
87
90
100
70
94
88
77
108
81
98
89
75
99
82
103
90
86
98
77
110
91
94
99
75
94
92
77
101
68
100
93
87
96
71
103
94
80
111
67
105
95
87
101
71
104
96
83
100
67
112
97
94
103
74
101
98
88
98
71
108
99
84
101
64
95
100
86
105
69
100
101
91
92
64
106
102
83
102
71
104
103
90
103
68
93
104
81
98
62
94
105
83
107
68
110
106
86
101
73
110
107
89
104
67
103
108
92
107
70
104
109
77
102
68
96
Hasil Output SPSS 20 untuk semua variabel
Statistics
X1_PELIBATAN X2_KEPUASAN X3_IIKLIM Y_SEMANGAT
N Valid 110 110 110 110
Missing 0 0 0 0
X1_PELIBATAN
Frequency Percent Valid Percent Cumulative Percent
Valid 63.00 1 .9 .9 .9
64.00 3 2.7 2.7 3.6
66.00 2 1.8 1.8 5.5
67.00 1 .9 .9 6.4
68.00 3 2.7 2.7 9.1
69.00 2 1.8 1.8 10.9
70.00 1 .9 .9 11.8
71.00 2 1.8 1.8 13.6
73.00 1 .9 .9 14.5
74.00 2 1.8 1.8 16.4
75.00 3 2.7 2.7 19.1
76.00 4 3.6 3.6 22.7
77.00 5 4.5 4.5 27.3
78.00 4 3.6 3.6 30.9
79.00 7 6.4 6.4 37.3
80.00 9 8.2 8.2 45.5
81.00 7 6.4 6.4 51.8
82.00 6 5.5 5.5 57.3
83.00 7 6.4 6.4 63.6
84.00 5 4.5 4.5 68.2
85.00 5 4.5 4.5 72.7
86.00 6 5.5 5.5 78.2
87.00 5 4.5 4.5 82.7
88.00 2 1.8 1.8 84.5
89.00 3 2.7 2.7 87.3
90.00 3 2.7 2.7 90.0
91.00 3 2.7 2.7 92.7
92.00 1 .9 .9 93.6
93.00 1 .9 .9 94.5
94.00 5 4.5 4.5 99.1
101.00 1 .9 .9 100.0
Total 110 100.0 100.0
X2_KEPUASAN
Frequency Percent Valid Percent Cumulative Percent
Valid 81.00 1 .9 .9 .9
82.00 1 .9 .9 1.8
92.00 1 .9 .9 2.7
94.00 1 .9 .9 3.6
96.00 1 .9 .9 4.5
97.00 1 .9 .9 5.5
98.00 3 2.7 2.7 8.2
99.00 4 3.6 3.6 11.8
100.00 2 1.8 1.8 13.6
101.00 6 5.5 5.5 19.1
102.00 4 3.6 3.6 22.7
103.00 5 4.5 4.5 27.3
104.00 5 4.5 4.5 31.8
105.00 5 4.5 4.5 36.4
106.00 7 6.4 6.4 42.7
107.00 8 7.3 7.3 50.0
108.00 5 4.5 4.5 54.5
109.00 11 10.0 10.0 64.5
111.00 7 6.4 6.4 76.4
112.00 3 2.7 2.7 79.1
113.00 3 2.7 2.7 81.8
114.00 2 1.8 1.8 83.6
115.00 1 .9 .9 84.5
116.00 2 1.8 1.8 86.4
117.00 2 1.8 1.8 88.2
118.00 1 .9 .9 89.1
122.00 2 1.8 1.8 90.9
123.00 1 .9 .9 91.8
126.00 1 .9 .9 92.7
136.00 2 1.8 1.8 94.5
142.00 1 .9 .9 95.5
146.00 2 1.8 1.8 97.3
150.00 1 .9 .9 98.2
160.00 1 .9 .9 99.1
164.00 1 .9 .9 100.0
X3_IIKLIM
Frequency Percent Valid Percent Cumulative Percent
Valid 59.00 1 .9 .9 .9
62.00 1 .9 .9 1.8
63.00 2 1.8 1.8 3.6
64.00 5 4.5 4.5 8.2
67.00 8 7.3 7.3 15.5
68.00 14 12.7 12.7 28.2
69.00 4 3.6 3.6 31.8
70.00 8 7.3 7.3 39.1
71.00 11 10.0 10.0 49.1
72.00 8 7.3 7.3 56.4
73.00 8 7.3 7.3 63.6
74.00 7 6.4 6.4 70.0
75.00 8 7.3 7.3 77.3
76.00 3 2.7 2.7 80.0
77.00 4 3.6 3.6 83.6
78.00 5 4.5 4.5 88.2
79.00 3 2.7 2.7 90.9
80.00 1 .9 .9 91.8
81.00 4 3.6 3.6 95.5
82.00 3 2.7 2.7 98.2
83.00 1 .9 .9 99.1
85.00 1 .9 .9 100.0
Y_SEMANGAT
Frequency Percent Valid Percent Cumulative Percent
Valid 81.00 1 .9 .9 .9
88.00 2 1.8 1.8 2.7
89.00 1 .9 .9 3.6
92.00 4 3.6 3.6 7.3
93.00 3 2.7 2.7 10.0
94.00 5 4.5 4.5 14.5
95.00 4 3.6 3.6 18.2
96.00 8 7.3 7.3 25.5
97.00 7 6.4 6.4 31.8
98.00 8 7.3 7.3 39.1
99.00 5 4.5 4.5 43.6
100.00 6 5.5 5.5 49.1
101.00 6 5.5 5.5 54.5
102.00 5 4.5 4.5 59.1
103.00 7 6.4 6.4 65.5
104.00 6 5.5 5.5 70.9
105.00 6 5.5 5.5 76.4
106.00 4 3.6 3.6 80.0
107.00 7 6.4 6.4 86.4
108.00 1 .9 .9 87.3
110.00 6 5.5 5.5 92.7
112.00 3 2.7 2.7 95.5
114.00 1 .9 .9 96.4
116.00 1 .9 .9 97.3
119.00 1 .9 .9 98.2
121.00 1 .9 .9 99.1
124.00 1 .9 .9 100.0
Output SPSS 20 untuk analisis Regresi
Output Variabel X1 Keterlibatan Guru dalam Pengambilan Keputusan
Model Summaryb
Model R R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square
Change F Change df1 df2 Sig. F
1 .222a .049 .041 6.81294 .049 5.603 1 108
a. Predictors: (Constant), X1_PELIBATAN
b. Dependent Variable: Y_SEMANGAT
[DataSet0] D:\Tesis as'ari IAIN\DATA.sav
Descriptive Statistics
Mean Std. Deviation N
Y_SEMANGAT 101.1909 6.95529 110
X1_PELIBATAN 80.9636 7.60725 110
Correlations
Y_SEMANGAT X1_PELIBATAN
Pearson Correlation Y_SEMANGAT 1.000 .222
X1_PELIBATAN .222 1.000
Sig. (1-tailed) Y_SEMANGAT . .010
X1_PELIBATAN .010 .
N Y_SEMANGAT 110 110
X1_PELIBATAN 110 110
Variables Entered/Removedb
Model Variables Entered
Variables
Removed Method
1 X1_PELIBATANa . Enter
a. All requested variables entered.
b. Dependent Variable: Y_SEMANGAT
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 260.050 1 260.050 5.603 .020a
Residual 5012.941 108 46.416
Total 5272.991 109
a. Predictors: (Constant), X1_PELIBATAN
b. Dependent Variable: Y_SEMANGAT
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 84.752 6.975 12.150 .000
X1_PELIBATAN .203 .086 .222 2.367 .020 1.000 1.
a. Dependent Variable: Y_SEMANGAT
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) X1_PELIBATAN
1 1 1.996 1.000 .00 .00
2 .004 21.430 1.00 1.00
a. Dependent Variable: Y_SEMANGAT
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 97.5435 105.2591 101.1909 1.54460 110
Residual -20.19829 23.00475 .00000 6.78161 110
Std. Predicted Value -2.361 2.634 .000 1.000 110
Std. Residual -2.965 3.377 .000 .995 110
Output Analisis Regeresi variabel X2 Kepuasan Kerja Guru
[DataSet0] D:\Tesis as'ari IAIN\DATA.sav
Descriptive Statistics
Mean Std. Deviation N
Y_SEMANGAT 101.1909 6.95529 110
X2_KEPUASAN 109.5909 12.92483 110
Correlations
Y_SEMANGAT X2_KEPUASAN
Pearson Correlation Y_SEMANGAT 1.000 .360
X2_KEPUASAN .360 1.000
Sig. (1-tailed) Y_SEMANGAT . .000
X2_KEPUASAN .000 .
N Y_SEMANGAT 110 110
X2_KEPUASAN 110 110
Variables Entered/Removedb
Model Variables Entered
Variables
Removed Method
1 X2_KEPUASANa . Enter
a. All requested variables entered.
b. Dependent Variable: Y_SEMANGAT
Model Summaryb
Model R R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square
Change F Change df1 df2 Sig. F Change
1 .360a .129 .121 6.52001 .129 16.040 1 108 .000
a. Predictors: (Constant), X2_KEPUASAN
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 681.859 1 681.859 16.040 .000a
Residual 4591.132 108 42.510
Total 5272.991 109
a. Predictors: (Constant), X2_KEPUASAN
b. Dependent Variable: Y_SEMANGAT
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 79.984 5.332 15.002 .000
X2_KEPUASAN .194 .048 .360 4.005 .000 1.000 1.000
a. Dependent Variable: Y_SEMANGAT
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) X2_KEPUASAN
1 1 1.993 1.000 .00 .00
2 .007 17.094 1.00 1.00
a. Dependent Variable: Y_SEMANGAT
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 95.6582 111.7197 101.1909 2.50112 110
Residual -22.78574 16.53753 .00000 6.49003 110
Std. Predicted Value -2.212 4.210 .000 1.000 110
Std. Residual -3.495 2.536 .000 .995 110
Output Analisis Regeresi variabel X3 Iklim Lembaga
[DataSet1] D:\Tesis as'ari IAIN\DATA.sav
Descriptive Statistics
Mean Std. Deviation N
Y_SEMANGAT 101.1909 6.95529 110
X3_IIKLIM 72.1000 5.08091 110
Correlations
Y_SEMANGAT X3_IIKLIM
Pearson Correlation Y_SEMANGAT 1.000 -.197
X3_IIKLIM -.197 1.000
Sig. (1-tailed) Y_SEMANGAT . .019
X3_IIKLIM .019 .
N Y_SEMANGAT 110 110
X3_IIKLIM 110 110
Variables Entered/Removedb
Model Variables Entered
Variables
Removed Method
1 X3_IIKLIMa . Enter
a. All requested variables entered.
b. Dependent Variable: Y_SEMANGAT
Model Summary
Model R R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square
Change F Change df1 df2 Sig. F Change
1 .197a .039 .030 6.85003 .039 4.376 1 108 .039
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 205.321 1 205.321 4.376 .039a
Residual 5067.670 108 46.923
Total 5272.991 109
a. Predictors: (Constant), X3_IIKLIM
b. Dependent Variable: Y_SEMANGAT
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 120.667 9.333 12.929 .000
X3_IIKLIM -.270 .129 -.197 -2.092 .039 1.000 1.000
a. Dependent Variable: Y_SEMANGAT
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) X3_IIKLIM
1 1 1.998 1.000 .00 .00
2 .002 28.546 1.00 1.00
Analisis Regresi Linier Berganda
[DataSet1] D:\Tesis as'ari IAIN\DATA.sav
Descriptive Statistics
Mean Std. Deviation N
Y_SEMANGAT 101.1909 6.95529 110
X1_PELIBATAN 80.9636 7.60725 110
X2_KEPUASAN 109.5909 12.92483 110
X3_IIKLIM 72.1000 5.08091 110
Correlations
Y_SEMANGAT X1_PELIBATAN X2_KEPUASAN X3_IIKLIM
Pearson Correlation Y_SEMANGAT 1.000 .222 .360 -.197
X1_PELIBATAN .222 1.000 -.024 -.082
X2_KEPUASAN .360 -.024 1.000 -.154
X3_IIKLIM -.197 -.082 -.154 1.000
Sig. (1-tailed) Y_SEMANGAT . .010 .000 .019
X1_PELIBATAN .010 . .400 .198
X2_KEPUASAN .000 .400 . .054
X3_IIKLIM .019 .198 .054 .
N Y_SEMANGAT 110 110 110 110
X1_PELIBATAN 110 110 110 110
X2_KEPUASAN 110 110 110 110
X3_IIKLIM 110 110 110 110
Variables Entered/Removed
Model Variables Entered
Variables
Removed Method
1 X3_IIKLIM, X1_PELIBATAN, X2_KEPUASANa
. Enter
Model Summary
Model R R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square Change
F
Change df1 df2 Sig. F Change
1 .445a .198 .175 6.31618 .198 8.725 3 106 .000
a. Predictors: (Constant), X3_IIKLIM, X1_PELIBATAN, X2_KEPUASAN
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 1044.214 3 348.071 8.725 .000a
Residual 4228.777 106 39.894
Total 5272.991 109
a. Predictors: (Constant), X3_IIKLIM, X1_PELIBATAN, X2_KEPUASAN
b. Dependent Variable: Y_SEMANGAT
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 76.953 13.104 5.872 .000
X1_PELIBATAN .201 .080 .220 2.521 .013 .992 1.008
X2_KEPUASAN .186 .047 .346 3.922 .000 .975 1.026
X3_IIKLIM -.173 .121 -.126 -1.426 .157 .969 1.032
a. Dependent Variable: Y_SEMANGAT
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) X1_PELIBATAN X2_KEPUASAN X3_IIKLIM
1 1 3.979 1.000 .00 .00 .00 .00
2 .012 17.893 .00 .12 .77 .04
3 .007 23.063 .01 .61 .01 .28
4 .002 51.303 .99 .27 .22 .69
Output SPSS 20 untuk analisis Homogenitas dan Normalitas
Analisis Homogenitas
Test of Homogeneity of Variances
Levene Statistic df1 df2 Sig.
X1_PELIBATAN 1.098a 18 83 .369
X2_KEPUASAN 1.454b 18 83 .129
X3_IKLIM 1.428c 18 83 .140
a. Groups with only one case are ignored in computing the test of homogeneity of variance for X1_PELIBATAN.
b. Groups with only one case are ignored in computing the test of homogeneity of variance for X2_KEPUASAN.
c. Groups with only one case are ignored in computing the test of homogeneity of variance for X3_IKLIM.
Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
X1_PELIBATAN X2_KEPUASAN X3_IKLIM Y_SEMANGAT
N 110 110 110 110
Normal Parametersa,,b Mean 80.9636 109.5909 68.4818 101.1909
Std. Deviation 7.60725 12.92483 6.32562 6.95529
Most Extreme Differences Absolute .089 .220 .113 .068
Positive .051 .220 .098 .068
Negative -.089 -.130 -.113 -.057
Kolmogorov-Smirnov Z .934 2.310 1.185 .710
Asymp. Sig. (2-tailed) .347 .000 .120 .694
a. Test distribution is Normal.
b. Calculated from data.
